An Improved Robust Deadbeat Predictive Current Control for the Consequent-Pole Hybrid Excitation Motor

被引:1
作者
Fan, Ying [1 ]
Lei, Yutong [1 ]
Wang, Xu [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Mathematical models; Windings; Stability analysis; Observers; Current control; Torque; Topology; Consequent-pole; extended state observer; hybrid excitation; predictive control; virtual parameter estimation; STRATEGIES; GENERATOR; MODEL;
D O I
10.1109/TEC.2022.3233861
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes an improved robust deadbeat predictive current control (DPCC) to optimize the current loop control performance of the hybrid excitation motor (HEM) drive system, which is a multi-variable and strongly coupled system. First, the topology and mathematical model of a consequent-pole hybrid excitation machine (CPHEM) are introduced. In order to optimize the current performance of HEM drive system, a DPCC strategy is proposed, followed by a proposed stability analysis method for parameter mismatch. In addition, a robust deadbeat predictive current control (RDPCC) based on extended state observer (ESO) is proposed to suppress the effects of parameter mismatch in DPCC. Furthermore, in the predictive control of HEMs, the divergence of current prediction is caused by certain combinations of controller parameters, which is not resolved by RDPCC. To deal with this issue, the estimation equations of the virtual parameter are introduced into the current prediction of RDPCC. Finally, the effectiveness of proposed control strategy is verified in experiments.
引用
收藏
页码:1219 / 1230
页数:12
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